similar to: matrix transpose

I want to transpose a dataframe like level 2006 2007 2008 A .... B ..... C ........ into level year A 2006 A 2007 A 2008 B 2006 B 2007 ...... There is a procedure in SAS can do this, is there any function in R can do this? -- View this

hello, everybody, i have several unresolved issues: 1. how to do a matrix transpose? i cant find how to do it in the documentation. 2..suppose i have an object named as lm1 from linear regression, how could i refer to it by paste("lm",1,sep="") ? 3. to save a matrix 100 x 30, how to have a text file with 100 lines and 30 cols, instead of stacking them? thanks. best regards

Hi Everyone, I have a dataset like this mean sd 0% 25% 50% 75% 100% n BODY TEMPERATURE 36.41099 0.4015699 35.1 36.22222 36.5 36.66667 37.1 89 DIASTOLIC BLOOD PRESSURE 73.60079 9.4656186 50.0 67.00000 73.0 80.00000 95.0 253 HEIGHT 171.94000 9.2011670 153.5 166.50000 173.0 176.25000 190.0

Hi, Since I installed R 2.13 I cannot use the transpose method "t" on sparse matrices inside my package. Outside the package works. Is there something new that I have to import methods? Can I then import everything from the Matrix package? The problem is that R tries to use t.default which of course doesn't work. Happy easter, Tobias -- Tobias Abenius Ph.D. Student, M.Sc. in

Hello everybody When one is working with complex matrices, "transpose" very nearly always means *Hermitian* transpose, that is, A[i,j] <- Conj(A[j,i]). One often writes A^* for the Hermitian transpose. I have only once seen a "real-life" case where transposition does not occur simultaneously with complex conjugation. And I'm not 100% sure that that wasn't a

Suppose this is my list of transactions: set.seed(200) tran=random.transactions(100,3) inspect(tran) items transactionID 1 {item80} trans1 2 {item8, item20} trans2 3 {item28} trans3 I want to get the 'transpose' of the data, i.e. transactionID items 1 {trans2} item8 2 {trans2} item20 3 {trans3} item28 4 {trans1} item80 I

Hi All, I want to ask if there is a transpose function for data frame like the procedure of transpose in SAS? Because I want to partially transpose a data frame which contains 5 columns (siteid, date, time, obs, mod), what I want to do is to put time as the column variables along with siteid, and date, and put obs and mod in the row names. specifically to transpose a data frame: siteid date

Hi Listers, Is there a way that I can transpose an array... Suppose I have the following array... x<-array(c(1,2,3,4),dim=c(1,2,2)) , , 1 [,1] [,2] [1,] 1 2 , , 2 [,1] [,2] [1,] 3 4 And I would like to get the following result... , , 1 [,1] [1,] 1 [,2] 2 , , 2 [,1] [,2] [1,] 3 [,2] 4 Thanks in advance, Marcio -- View this message in context:

Hi guys, I need your help!! My goal is to make a csv file from ncdf file. This is the code i've used : > hyo=open.ncdf("C:/CRUTEM3.nc") > hyo [1] "file C:/CRUTEM3.nc has 4 dimensions:" [1] "longitude Size: 72" [1] "latitude Size: 36" [1] "unspecified Size: 1" [1] "t Size: 1916" [1] "------------------------"

Full_Name: Alexander L. Belikoff Version: 2.8.1 OS: Ubuntu 9.04 (x86_64) Submission from: (NULL) (67.244.71.200) I'm trying to reshape the following data frame: ID DATE1 DATE2 VALUE_TYPE VALUE 'abcd1233' 2009-11-12 2009-12-23 'TYPE1' 123.45 ... VALUE_TYPE is a string and is a factor with only 2 values

I am just starting to code in R and need some help as I am used to doing this in SAS. I have a dataset that looks like this: Chemical Well1 Well2 Well3 Well4 BOD 13.2 14.2 15.5 14.2 O2 7.8 2.6 3.5 2.4 TURB 10.2 14.6 18.5 17.3 and so on with more chemicals.... I would like to transpose my data so that it looks like this: Chemical WellID Value BOD Well1 13.2 BOD Well2 14.2 BOD Well3 15.5 BOD

I am trying to transpose a dataframe by its first column using the by statement using the t function. When I use the by function, I get a message, Error in FUN(X[[i]], ...) : could not find function "FUN" I don't think I have a syntax error in my by statement because the by statment works using the print function. Data and an executable example follows: phonydata2 <-

I have a data set in the following format: x<-data.frame(id=c(‘a’,’b’,’c’),’2005-01-15’=c(100,225,425), ’2005-02-23’=c(1100,2325,4525)) > x id X2005.01.15 X2005.02.23 1 a 100 1100 2 b 225 2325 3 c 425 4525 I want: id a b c X2005.01.15 100 225 425 X2005.02.23 1100

Hello: I need to take a species-sample matrix and transpose it to the format used by PC-ORD for analysis. Unfortunately, the number of species is very large (>5000), and so this operation cannot be performed simply in an application like Excel, which has a 255 column limit. So, I wrote relatively simple code in R that I hoped would do this (appended below). But there are glitches. The

> On Jun 20, 2017, at 7:19 AM, Sorkin, John <jsorkin at som.umaryland.edu> wrote: > > I am trying to transpose a dataframe by its first column using the by statement using the t function. When I use the by function, I get a message, > > Error in FUN(X[[i]], ...) : could not find function "FUN" > > I don't think I have a syntax error in my by statement

I noticed some odd behavior when I transpose a data frame containing NA's. It seems to cast all the elements as "character" including the NA's. Bug? > t(data.frame(x=1:10,y=1:10,z=rep(NA,10))) 1 2 3 4 5 6 7 8 9 10 x " 1" " 2" " 3" " 4" " 5" " 6"

Dear all: I have a big data file of 60000 columns and 60000 rows like that: AA AC AA AA .......AT CC CC CT CT.......TC .......................... ......................... I want to transpose it and the output is a new like that AA CC ............ AC CC............ AA CT............. AA CT......... .................... .................... AT TC............. The keypoint is I can't read

Hi all, if I transpose a matrix with t(data), the newly created colums do not appear to have the first row as header. How can I do to have all the newly created columns have their first row as a header? Thanks Gabriele Zoppoli, MD Ph.D. Fellow, Experimental and Clinical Oncology and Hematology, University of Genova, Genova, Italy Guest Researcher, LMP, NCI, NIH, Bethesda MD Work: 301-451-8575

Transpose vector extracted from a matrix Hello, I am doing a recursive analysis that uses every line (vector) of a matrix in a loop. In the model, I need to transpose those vectors that are extracted from a matrix. Using simple vectors (no matrix involved) the transpose function works fine: simplevector <-matrix(1:3,3,1) tsimplevector <-t(simplevector) #transposed dim(simplevector)

Hi all, Given the following, > xx [[1]] V1 V2 V3 [1,] 1 2 3 [2,] 4 5 6 [3,] 7 8 9 [[2]] V1 V2 V3 [1,]10 11 12 [2,]13 14 15 [3,]16 17 18 [[3]] V1 V2 V3 [1,]19 20 21 [2,]22 23 24 [3,]25 26 27 how do i extract elements in each file so that after transpose, it looks something like the following; 1 10 19 2 11 20 3 12 21 and so on.. Thanks.. -- Muhammad